Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Evidence from the Labour Force Survey (LFS) reveals that the percentage of employed workers searching for other jobs more than doubled in Canada between 1976 and 1995. Comparable evidence from the Current Population Survey (CPS), Panel Study of Income Dynamics (PSID), and National Longitudinal Survey (NLS) suggests that the U.S. experienced a remarkably similar upward trend in on-the-job search (OJS) over this period. Using U.S. data to supplement the Canadian data wherever possible, this paper attempts to explain this long-term, secular trend in Canadian OJS rates by performing decomposition and industry-level analyses, and by considering concomitant changes in employer-to-employer transition rates and the wage returns to job changing. The results from both countries suggest that an important part of the upward trend in OJS rates is not explained by compositional effects, including cohort effects. The OJS increase seems also to have occurred independently of rising job insecurity due to sector-specific demand shocks and trends in the dispersion of log wage residuals. The data are most consistent with a long-term decrease in search costs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it